经济与社会研究院SEMINAR第98期

题目：Identification and Estimation of Semiparametric Binary Response Model with Endogenous Regressor

主讲人：宋伟，厦门大学

时间：2018年5月21日13:30-15:00

地点：暨南大学中惠楼106B室

主讲人简介：

宋伟，美国威斯康星大学麦迪逊分校经济学博士，现任厦门大学邹至庄经济研究中心、经济学院统计系助理教授。此前，他于2008年获得南开大学物理学学士学位，2011年获得北京大学经济学硕士学位。他的研究领域为计量经济学和应用微观经济学。

Abstract:

In this paper we develop new results on identification and estimation of semiparametric binary response model with an endogenous explanatory variable. The identification is achieved based on a control variable approach. We also propose a semiparametric estimator, and show that it is root-n-consistent and asymptotically normal. The estimation is based on a nonlinear least square criterion, which we show is equivalent to an integrated maximum score criterion. Monte Carlo simulation shows that the performance of our estimator is consistent with our theory in finite samples. Finally, we apply our estimator to the study of the causal effect of economic conditions on civil conflicts as in Miguel, Satyanath, and Sergenti (2004). In their paper, they use two-stage least square to estimate the effect of economic conditions on civil conflicts. We re-estimate their model using our semiparametric least square estimator.